{"as_of":"2026-08-04T05:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:720bfa54a321a5f46b97bf9a41ba649c4315e4a9b19022fe707ba892c7c705b3","coverage":[{"denominator":23,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":23,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T10:07:45.531832Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-03T06:30:56.289259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1907.01742/citation-record","integrity":"/paper/1907.01742/integrity","json":"/paper/1907.01742/citation-record.json","paper":"/paper/1907.01742"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The speech signal perceived by the huma n is degraded due to various environmental noises, bad room acoustics and distortions introduced in the communication systems","venue":null,"work_id":"49de72ba-b609-463a-9a2f-eb3e157a2e3a","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:1648198bb62baa74306f7119d343a0eb1ca35ffaf39529aaeb03748697ca2611","observation_id":"e3b944c4-e4ec-4c92-bea0-8af1320f4c42","resolution":{"observed_at":"2026-05-25T10:10:39.156286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The 4 impairment classes are: i) Background noise, ii) Reverberation, iii) Speech distortion and iv) Low volume","venue":null,"work_id":"9ac960d0-10c1-4393-90b6-52baf30ad5c1","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:2b6f340c884dc879e0126aa07e70040826ddc2d4e5902261e33080a082407216","observation_id":"2beccfed-a488-4f42-ba0d-443b764d973e","resolution":{"observed_at":"2026-05-25T10:10:39.142911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hit application for online subjective evaluation Once the audio dataset is synthesized for different impairments, the next step is to label the clips","venue":null,"work_id":"6fa285dc-637d-49ea-aa11-a91352dee07e","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:bdc111133586dbfdbc1b9119339a867ea34b293b6731454580b03b30605d8059","observation_id":"2a05d48b-22cc-48c5-be1d-4b7914fa5712","resolution":{"observed_at":"2026-05-25T10:10:39.139755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Engineered audio features with dense network In the first approach, we extract 18 engineered signal processing features from the audio signal","venue":null,"work_id":"265401a2-8a66-4861-b846-dfcd7c437e16","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:12253e38aefe06b4800dd40bb621ced1a7c77b866d6376821d29ea043d7306a3","observation_id":"01a099f1-0f49-44a3-935d-f6065dc4c2f0","resolution":{"observed_at":"2026-05-25T10:10:39.136305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3f33e274-0686-4750-a3d4-229c1c2c0b58","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:c89b38ba6b6641b6c275bbf2a77050ac240ca4e1484297f84c006d648b226725","observation_id":"a4d92a3a-80fa-4389-a322-29515c3ac3a5","resolution":{"observed_at":"2026-05-25T10:10:39.132702Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fbd1ce48-f806-4f40-ae42-88370288d9a5","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:fd8a013af25e02ea6e37c722d754943e9a16540fb7b675d1a08a28fe90199104","observation_id":"04743d0f-b8bc-48c9-b36d-30d1d98c9ac2","resolution":{"observed_at":"2026-05-25T10:10:39.129616Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Recommendation P.800: Methods for subjective determination of transmission quality","venue":null,"work_id":"b249ee86-fae1-4194-8325-bcfffabebbb5","year":1998},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:1904ec75a34bfa5c95f7647c66f49e2a5a53ce07fe2d8c928210ad52254f12b4","observation_id":"6a3bd19d-3b21-4240-858c-be51f330d8c1","resolution":{"observed_at":"2026-05-25T10:10:39.126038Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8ef70ea8-486a-41a4-9353-d83556615509","year":2001},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:84c4aeb77c442608854c24b3bdcd0b22444a1a99c90608e9594b3b83e1278d1b","observation_id":"0b096a2c-28f9-4e44-b6da-b861d89f9d09","resolution":{"observed_at":"2026-05-25T10:10:39.122416Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Perceptual objective listening quality assessment (POLQA), the third generation ITU -T standard for end-to-end speech quality measurement part I —Temporal alignment","venue":null,"work_id":"2b5d6627-9035-48e2-8139-090047d77421","year":2013},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:2a7ae1f141fe0bbb36800ec75f5b5d97a4a3c09f6c27ac19d9ec2419620190fe","observation_id":"a8bec0cc-19bc-4969-a963-9f6a9a97ed06","resolution":{"observed_at":"2026-05-25T10:10:39.119153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.868317","doi":"10.1109/icassp.2019.8683175","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Non -intrusive Speech Quality Assessment Using Neural Networks","venue":null,"work_id":"34ad4b6c-f54b-4995-be0d-7472acd42ea0","year":2019},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:d5fe5f5fb7dc2e78f4f4bcc59ce51de20fdac80f890329a3090cf55c64faad0c","observation_id":"8a60e3cf-075d-44d4-8f40-6cd642c472b1","resolution":{"observed_at":"2026-05-25T10:10:37.304584Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a567e442-4d28-43be-aee0-cf944d1978e0","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:106adec2acea6ec067de8de3d74edd41c90a0d19a7b7752205cb147aa9090853","observation_id":"5f859510-54f1-4cd4-9bf1-fddfe5cb307c","resolution":{"observed_at":"2026-05-25T10:10:39.115541Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning with noisy labels","venue":null,"work_id":"ea2a30d5-70be-47ee-97be-3e4eb65ddf3b","year":2013},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:760b8758d5449b0f40447b972d4840f572aa256410c03d6425e58bd65d0363b8","observation_id":"59bd661e-99c3-466f-ba65-15180c4401c9","resolution":{"observed_at":"2026-05-25T10:10:39.112515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Deep Networks from Noisy Labels with Dropout Regularization","venue":null,"work_id":"ff9a76c2-8fd8-417e-a6ee-7ee2377fba89","year":2016},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:e685b444e193c9c5b632935fe60283d8f344cba035c968808915ed8b07dc43b8","observation_id":"29288879-96e1-4e0d-9592-7122247cf8fe","resolution":{"observed_at":"2026-05-25T10:10:39.109423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.2080","last_updated":"2015-04-10T16:44:00Z","snapshot_observed_at":"2026-07-06T03:45:47.981395Z","submitted_at":"2014-06-09T05:45:12Z","title":"Training Convolutional Networks with Noisy Labels","version":4},"cited_work":{"arxiv_id":"1406.2080","doi":null,"metadata_source":"pith","pith_arxiv_id":"1406.2080","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Training Convolutional Networks with Noisy Labels","venue":"cs.CV","work_id":"23b467db-9321-49ed-924a-71cb597f9913","year":2014},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"cited_paper":"/paper/1406.2080","citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:6f53515393c57ab13c98532818ee81c20ebdfe750f62dbe4839b1ea97aa4ab72","observation_id":"e886a413-475e-496b-9e69-5f696f9e98ef","resolution":{"observed_at":"2026-05-25T10:10:37.662525Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.01189","last_updated":"2019-03-07T22:37:46Z","snapshot_observed_at":"2026-07-06T07:24:56.165977Z","submitted_at":"2019-01-04T16:06:21Z","title":"Learning Sound Event Classifiers from Web Audio with Noisy Labels","version":2},"cited_work":{"arxiv_id":"1901.01189","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.01189","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning Sound Event Classifiers from Web Audio with Noisy Labels","venue":"cs.SD","work_id":"d8bb708b-8eec-4b59-9b7e-d66a0c5ddbe9","year":2019},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"cited_paper":"/paper/1901.01189","citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:0e9742c51c1d9b225ef9c7b4368171264000406358c2d86a00f62a5eb08ba2f5","observation_id":"3d8977e1-1893-4e4b-a5ff-553404fd189e","resolution":{"observed_at":"2026-05-25T10:10:37.656530Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"General-purpose audio tagging from noisy labels using convolutional neural networks","venue":null,"work_id":"c4fd4fd3-fb1c-4832-87eb-a76697c38544","year":2018},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:2edc93389fc591814b22801f93d7b53ae4b92696a0939a26d8ec55137d619c56","observation_id":"f50a2ef3-8380-490d-afdb-14028dd50075","resolution":{"observed_at":"2026-05-25T10:10:39.152239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.09288","last_updated":"2018-04-24T23:04:35Z","snapshot_observed_at":"2026-08-03T17:25:17.923285Z","submitted_at":"2018-04-24T23:04:35Z","title":"A Closer Look at Weak Label Learning for Audio Events","version":1},"cited_work":{"arxiv_id":"1804.09288","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.09288","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Closer Look at Weak Label Learning for Audio Events","venue":"cs.SD","work_id":"be3d7798-637c-48c5-895f-454b4bd0a250","year":2018},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"cited_paper":"/paper/1804.09288","citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:1d89b5c018e00c74d5f6b8d668d06485aba038ce79527a5a31b1e296b3a73480","observation_id":"62c1a41e-e43a-4e6c-9372-fae53c1c45f2","resolution":{"observed_at":"2026-05-25T10:10:37.644471Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"63107ba8-e121-4405-8703-e9ce28bf329d","year":null},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:5194343733fdcc8d0714cdad0e6c1d2caea813df743e66540356e5ceaaeee967","observation_id":"fda30153-b326-4502-9ca8-af3f63cc1171","resolution":{"observed_at":"2026-05-25T10:10:39.149118Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Training deep neural networks on noisy labels with bootstrapping","venue":null,"work_id":"dc12e28e-0406-4e1f-bc04-aa11cc99453c","year":2015},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:687afd48c657a0a1e2331d256b29ada0c52bdc222bec71808780014d4b383f83","observation_id":"2d0fc799-05a5-4ffc-b9b3-96fa10514cff","resolution":{"observed_at":"2026-05-25T10:10:39.146068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Joint optimization framework for learning with noisy labels","venue":null,"work_id":"8c88fb69-f5fc-4149-978b-314888808786","year":2018},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:29a19c723b6d32f13ef5fe688ad8fd47e175dfb77bd3e4d5c467709890e36b66","observation_id":"f6137f87-1ada-4f25-9e97-8aaecbea83e2","resolution":{"observed_at":"2026-05-25T10:10:39.101662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generalized cross entropy loss for training deep neur al networks with noisy labels","venue":null,"work_id":"d25b0469-a361-4e84-830a-3b7cb0d9c265","year":2018},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:137c4d8534fb630f9376869bd0f20abaade9b2a1e0d9973826a6fc84f9412952","observation_id":"fdbba855-3f7a-43bf-b777-7edfa5ad79f0","resolution":{"observed_at":"2026-05-25T10:10:39.098218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.10694","last_updated":"2018-02-26T16:51:57Z","snapshot_observed_at":"2026-08-01T12:24:36.256401Z","submitted_at":"2017-05-30T15:10:51Z","title":"Deep Learning is Robust to Massive Label Noise","version":3},"cited_work":{"arxiv_id":"1705.10694","doi":"10.48550/arxiv.1705.10694","metadata_source":"pith","pith_arxiv_id":"1705.10694","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Deep Learning is Robust to Massive Label Noise","venue":"cs.LG","work_id":"f50f656f-74c9-46e9-8073-25026cf0fcc2","year":2017},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"cited_paper":"/paper/1705.10694","citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:a18b108211e180c578fba674557b9bae413d6cfd32cdebd4439230aa856fd9b3","observation_id":"701c0ff5-d87f-4937-98ec-489f55c6b3db","resolution":{"observed_at":"2026-05-25T10:10:37.650854Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-07-14T12:49:55.496145+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T12:49:55.496145+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2006.883250","doi":"10.1109/tasl.2006.883250","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Low-Complexity, Nonintrusive Speech Quality Assessment","venue":null,"work_id":"99ad5084-0a4a-4039-8448-ef2532f78e49","year":1948},"citing_paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T10:07:45.531832Z"},"links":{"citing_paper":"/paper/1907.01742"},"observation_digest":"sha256:0a12d1c589cf3dd6c6e78aa072aa8a109efb5ebcd2939b19d88299f753f73bb8","observation_id":"5eb553c7-16b4-4174-afcf-6046d526e37e","resolution":{"observed_at":"2026-05-25T10:10:37.298600Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1907.01742","last_updated":"2019-07-03T05:21:06Z","latest_version":1,"primary_category":"cs.SD","snapshot_observed_at":"2026-08-02T19:28:48.264873Z","submitted_at":"2019-07-03T05:21:06Z","title":"Supervised Classifiers for Audio Impairments with Noisy Labels"},"reference_resolution":{"displayed":23,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":4,"verified_exact":6,"verified_fuzzy":12},"total_outbound_references":23},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:1907.01742."}